a lightweight header-only C++17 library of numerical optimization methods for nonlinear functions based on Eigen

OptimLib: a lightweight C++ library of numerical optimization methods for nonlinear functions

LBFGS-Lite: A header-only L-BFGS unconstrained optimizer.

An open source library for the GPU-implementation of L-BFGS-B algorithm

A collection of numerical methods written in Nim

Improved LBFGS and LBFGS-B optimizers in PyTorch.

A C++ toolkit for Convex Optimization (Logistic Loss, SVM, SVR, Least Squares etc.), Convex Optimization algorithms (LBFGS, TRON, SGD, AdsGrad, CG, Nesterov etc.) and Classifiers/Regressors (Logistic Regression, SVMs, Least Squares Regression etc.)

Type-safe modelling DSL, symbolic transformation, and code generation for solving optimization problems.

Federated learning with PyTorch (federated averaging and consensus optimization): with 'reduced' bandwidth

LBFGS optimization algorithm ported from liblbfgs

(Python, Tensorflow, R, C, C++) Stochastic, limited-memory quasi-Newton optimizers (adaQN, SQN, oLBFGS)

Numerical optimization solvers for unconstrained and simple-bounds constrained convex optimization problems in Rust

The code for vector transport free LBFGS quasi-Newton's optimization on the Riemannian manifolds

Library in Haskell for Dynamically Storing Expressions and Code Generator for Various Non-Linear Optimization Solvers

Basic Implementation of "Developability Of TriangleMeshes" from K. Crane, O. Stein, E. Grinspun

Adversarial Attacks on MNIST

Implementation of numerical optimization algorithms for logistic regression problem.

C++ port of www.pyrunner.com/weblog/2016/05/26/compressed-sensing-python/